Wilson Goma

An app installed on the phone, with no account and no third-party service: 279 goals in nine blocking tiers, a level that drops when supplies expire, an inventory that computes the household’s days of self-sufficiency, and an offline Crisis screen for the day itself.

Self-hosted web app for household budgeting and net worth. Keyboard entry, fixed expenses, budget targets, reports, a monthly net-worth matrix, financial goals in a pyramid with their analysis; a Monte Carlo net-worth projection is on its way.

The TSFM tech watch applied to a fictional balance responsible party, on real public data: LightGBM, Chronos-2 and their blend against RTE’s day-ahead forecast, published and debiased. A 2.7% MAPE on the portfolio against 5.6% without a model, a router that does not beat the blend, a cold start handled by the naive forecast, Timestral and TimesFM 3.0 in an addendum, a Dagster service and its replayed monitoring.

The BSTS counterfactual from the tech watch applied to the promotions of a fictional grocery chain on the Favorita data: campaigns detected rather than assumed, a donor registry, coverage measured on planted truth (0.83 to 0.90 against 0.5 to 0.7 for iid estimators), the earthquake as a test bench, Double ML, a Dagster pipeline and monitoring.

MinT rewritten from scratch, its assumptions tested one by one, and an éCO2mix mini-project (12 regions → France) where bottom-up beats the reference method, over 356 origins, two years and two base models.